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LOCATION:Hall 6
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UID:submissions.supercomputing.org_SC25_sess553_job150@linklings.com
SUMMARY:Senior Product Manager, cuBLAS and cuSOLVER
DESCRIPTION:At NVIDIA, we’re solving the world’s most challenging problems
  with our unique approach to accelerated computing. We’re looking for a pa
 ssionate product manager to join the NVIDIA team building our GPU accelera
 tion libraries for AI and HPC. This role is responsible for leading the ou
 r cuBLAS and cuSOLVER math libraries, two core CUDA-X math libraries that 
 are the foundation of numerical computing for diverse workloads. This role
  is highly visible and central to NVIDIA’s continued leadership in acceler
 ated computing.\n\nNVIDIA's CUDA-X libraries are essential, visible and gr
 owing both inside and outside of NVIDIA. We need a self-starting product m
 anager to continue growing these math libraries. Do you have the rare blen
 d of both technical, positioning and communication skills? Are you passion
 ate about groundbreaking technology? If so, we would love to learn more ab
 out you!\n\nWhat You’ll Be Doing:\n\nLeading: Take a leadership role in de
 fining strategic go-to-market plans that include product launches, campaig
 ns, and events for the CUDA-X libraries across key industries. This includ
 es effective messaging, positioning, and market research.\n\nBuilding: Bri
 ng ideas to life through content creation of sales/partner enablement asse
 ts such as presentation decks, blogs, whitepapers, webinars, demos, and mo
 re.\n\nPresenting: Engage with various audiences (internal and external), 
 delivering ideas clearly with confidence using creative approaches, transl
 ating technology capabilities to messages that resonate\n\nCollaborating: 
 Team up with product managers, product marketing teams, campaign marketing
 , developer relations, BD, sales, and PR teams to ensure alignment and exe
 cution of marketing plans.\n\nLearning: Bring back industry news, direct d
 eveloper/customer conversations, and share critical insights with internal
  teams\n\nWhat We Need To See:\n\nUndergraduate degree or equivalent exper
 ience in computer science, mathematics, computer engineering, or relevant 
 technical field\n\n8+ years of combined experience in a product management
  or technical role at a technology company working with libraries, SDKs, a
 nd/or toolkits\n\nFamiliarity with linear algebra, numerical methods, and 
 their application in AI, HPC, or scientific computing\n\nStrong technical 
 foundation in GPU computing, CUDA, or parallel programming models\n\nExcel
 lent communication and presentation skills, with the ability to work acros
 s engineering, marketing, and business teams\n\nProven ability to translat
 e technical capabilities into developer and customer value\n\nAbility to p
 rioritize multiple projects and work independently with minimal direction\
 n\nWays To Stand Out From The Crowd:\n\nDirect experience with CUDA-X math
  libraries\n\nPrior experience with basic linear algebra, direct linear so
 lvers and eigen solvers\n\nStrong knowledge and understanding of the HPC a
 nd AI markets and it's key players\n\nPrior success in building developer 
 ecosystems or working with ISVs in HPC/AI\n\nExperience driving go-to-mark
 et strategy and customer engagements for technical products\n\nYour base s
 alary will be determined based on your location, experience, and the pay o
 f employees in similar positions. The base salary range is 168,000 USD - 2
 58,750 USD.\nYou will also be eligible for equity and benefits.\n\nRegistr
 ation Category: Technical Program Reg Pass, Workshop Reg Pass, Tutorial Re
 g Pass, Exhibits Reg Pass\n\nCountry: United States of America\n\nCompany:
  NVIDIA Corporation\n\nIn-Person / Remote: In-person, Remote\n\nPart Time 
 / Full Time: Full Time\n\nPosition Type: Permanent\n\n
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